Marc S. Raab

12.1k citations
201 papers · 5.5k indexed · 2 hit papers · h-index 38
Topics
Multiple Myeloma Research and Treatments (169 papers)Protein Degradation and Inhibitors (60 papers)Peptidase Inhibition and Analysis (44 papers)

In The Last Decade

Marc S. Raab

187 papers receiving 5.4k citations

Hit Papers

Multiple myeloma200920262014202020092018100200300400500

Peers

Marc S. Raab
Comparison fields: 5 of 117
  • Hematology 3.5k
  • Molecular Biology 3.4k
  • Oncology 2.4k
  • Immunology 736
  • Genetics 519
Replace Suzanne Trudel with:
Suzanne Trudel Canada
Nizar J. Bahlis Canada
Laurence Catley United States
Andrzej Jakubowiak United States
Mariateresa Fulciniti United States
Michael Kauffman United States
Lynn C. Moscinski United States
Soheil Meshinchi United States
Kenneth H. Shain United States
Emma Shtivelman United States
Marc S. Raab relative to Suzanne Trudel Canada Suzanne Trudel's profile →
Citations per field
00.5×1.6×
Suzanne Trudel · 1×
Citations per year

Countries citing papers authored by Marc S. Raab

Since Specialization
Citations

This map shows the geographic impact of Marc S. Raab's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marc S. Raab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc S. Raab more than expected).

Fields of papers citing papers by Marc S. Raab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc S. Raab. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marc S. Raab. The network helps show where Marc S. Raab may publish in the future.

Co-authorship network of co-authors of Marc S. Raab

This figure shows the co-authorship network connecting the top 25 collaborators of Marc S. Raab. A scholar is included among the top collaborators of Marc S. Raab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc S. Raab. Marc S. Raab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 4
5 3
6 12
7 2
8 2
9 2
10 24
11 61
12 9
13 25
14 17
15 11
16 23
17 171
18 56
19 76
20 55

About Marc S. Raab

Marc S. Raab is a scholar working on Hematology, Oncology and Genetics, having authored 201 papers that have together received 5.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (169 papers), Protein Degradation and Inhibitors (60 papers) and Peptidase Inhibition and Analysis (44 papers). The work is most often cited by research in Hematology (3.5k citations), Oncology (2.4k citations) and Genetics (519 citations). Marc S. Raab has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Kenneth C. Anderson, Paul G. Richardson, Hartmut Goldschmidt, Klaus Podar, Iris Breitkreutz, Dirk Hose, Anna Jauch, Anthony D. Ho, Jens Hillengaß and Dharminder Chauhan. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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